Abstract

Abstract. Possible mechanisms behind the longevity of intense Long Island Sound (LIS) water temperature events are examined using an event-based approach. By decomposing an LIS surface water temperature time series into negative and positive events, it is revealed that the most intense LIS water temperature event in the 1979–2013 period occurred around 2012, coinciding with the 2012 ocean heat wave across the Mid-Atlantic Bight. The LIS events are related to a ridge–trough dipole pattern whose strength and evolution can be determined using a dipole index. The dipole index was shown to be strongly correlated with LIS water temperature anomalies, explaining close to 64 % of cool-season LIS water temperature variability. Consistently, a major dipole pattern event coincided with the intense 2012 LIS warm event. A composite analysis revealed that long-lived intense LIS water temperature events are associated with tropical sea surface temperature (SST) patterns. The onset and mature phases of LIS cold events were shown to coincide with central Pacific El Niño events, whereas the termination of LIS cold events was shown to possibly coincide with canonical El Niño events or El Niño events that are a mixture of eastern and central Pacific El Niño flavors. The mature phase of LIS warm events was shown to be associated with negative SST anomalies across the central equatorial Pacific, though the results were not found to be robust. The dipole pattern was also shown to be related to tropical SST patterns, and fluctuations in central Pacific SST anomalies were shown to evolve coherently with the dipole pattern and the strongly related East Pacific–North Pacific pattern on decadal timescales. The results from this study have important implications for seasonal and decadal prediction of the LIS thermal system.

Highlights

  • Fluctuations in sea surface temperature (SST) across coastal portions of the United States (US) are driven by changes in oceanic and atmospheric circulation patterns

  • Our results suggest that the reason why the wintertime Arctic Oscillation (AO), North Atlantic Oscillation (NAO), and West Pacific (WP) patterns are not strongly related with wintertime Long Island Sound (LIS) temperature anomalies as shown by Schulte et al (2018) is that these patterns are not related to northern Alaskan jet stream ridging, which is important to LIS temperature variability (Fig. 3a)

  • This paper revealed that LIS events are associated with modes of tropical Pacific and North Pacific SST variability

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Summary

Introduction

Fluctuations in sea surface temperature (SST) across coastal portions of the United States (US) are driven by changes in oceanic and atmospheric circulation patterns. Changes in water temperature along the US west coast are related to the Pacific Decadal Oscillation (PDO) and the North Pacific Gyre Oscillation, as is well documented (Mantua et al, 1997; Mantua and Hare, 2002; Di Lorenzo, 2008). For the US east coast, water temperature fluctuations are related to changes in the Gulf Stream position and variations in the Atlantic Multidecadal Oscillation, PDO, and East Pacific–North Pacific (EP–NP) pattern (Pershing et al, 2015; Schulte et al, 2018). Superimposed on the water temperature changes driven by natural modes of variability is background warming associated with anthropogenic climate change (Pershing et al, 2015). Two recent studies put water temperature variability across the Gulf of Maine and the Long Island Sound (LIS) in a climate-mode context. The first study by Pershing et al (2015) showed that the combination of Gulf Stream and PDO influences led to the rapid warming of the Gulf of Maine that resulted in the collapse of the cod fishery

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